当前位置: X-MOL 学术Comput. Electr. Eng. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Explicit one-step model and adaptive maximum power point tracking algorithm for a photovoltaic module
Computers & Electrical Engineering ( IF 4.0 ) Pub Date : 2020-07-01 , DOI: 10.1016/j.compeleceng.2020.106659
Issam A. Smadi , Rana AL-Qudah

Abstract This paper presents an accurate, simplified, explicit, and fast computing one-step model for a practical photovoltaic (PV) module without the need of heavy offline calculations, lookup tables, or iterative methods. A closed-form expression of the model shaping factor is provided, which paves the way to explicitly locate the maximum power point (MPP). Based on the obtained closed-form shaping factor expression, an adaptive maximum power point tracking (MPPT) algorithm is proposed. The proposed adaptive MPPT algorithm is implemented in a field-programmable gate array (FPGA) and verified using an FPGA-in-the-loop simulation, under rapid changes in temperature and irradiance, with comparisons to perturb and observe (P&O) and incremental conductance (InCond) MPPT methods. Moreover, two experimental case studies are discussed to highlight the validity of the proposed work.

中文翻译:

光伏组件的显式一步模型和自适应最大功率点跟踪算法

摘要 本文提出了一种用于实际光伏 (PV) 模块的准确、简化、显式和快速计算的一步模型,无需大量离线计算、查找表或迭代方法。提供了模型整形因子的封闭形式表达式,这为明确定位最大功率点 (MPP) 铺平了道路。基于得到的闭式整形因子表达式,提出了一种自适应最大功率点跟踪(MPPT)算法。所提出的自适应 MPPT 算法在现场可编程门阵列 (FPGA) 中实现,并在温度和辐照度快速变化的情况下使用 FPGA 在环仿真进行验证,并与扰动和观察 (P&O) 和增量电导进行比较(InCond) MPPT 方法。而且,
更新日期:2020-07-01
down
wechat
bug